Yule Duan

Orcid: 0000-0002-2505-8730

According to our database1, Yule Duan authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
SDST: Self-Supervised Double-Structure Transformer for Hyperspectral Images Clustering.
IEEE Trans. Geosci. Remote. Sens., 2024

Hyperspectral Target Detection With Target Prior Augmentation and Background Suppression-Based Multidetector Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Dimensionality Reduction via Local Structure-Aware Collaborative Graph Embedding for Hyperspectral Remote Sensing Image.
Proceedings of the 7th International Conference on Image and Graphics Processing, 2024

2023
Rethinking Representation Learning-Based Hyperspectral Target Detection: A Hierarchical Representation Residual Feature-Based Method.
Remote. Sens., July, 2023

Infrared Small Target Detection via $L_{0}$ Sparse Gradient Regularized Tensor Spectral Support Low-Rank Decomposition.
IEEE Trans. Aerosp. Electron. Syst., June, 2023

Classification via Structure-Preserved Hypergraph Convolution Network for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2023

Tensor Decomposition Based Attention Module for Spiking Neural Networks.
CoRR, 2023

Characters Are Like Faces.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
Semisupervised Feature Extraction of Hyperspectral Image Using Nonlinear Geodesic Sparse Hypergraphs.
IEEE Trans. Geosci. Remote. Sens., 2022

TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks.
CoRR, 2022

2021
Local Constraint-Based Sparse Manifold Hypergraph Learning for Dimensionality Reduction of Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2021

Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image.
IEEE Trans. Cybern., 2021

Semisupervised Manifold Joint Hypergraphs for Dimensionality Reduction of Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett., 2021

2020
Local Linear Spatial-Spectral Probabilistic Distribution for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2020

Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold Learning.
IEEE Trans. Cybern., 2020

Adaptive Residual Convolutional Neural Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery.
Pattern Recognit., 2020

DLPNet: A deep manifold network for feature extraction of hyperspectral imagery.
Neural Networks, 2020

Multi-manifold locality graph preserving analysis for hyperspectral image classification.
Neurocomputing, 2020

2019
Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized Sparse Hypergraph Embedding.
Remote. Sens., 2019

2018
Fusion of Weighted Mean Reconstruction and SVMCK for Hyperspectral Image Classification.
IEEE Access, 2018

2017
Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery.
Remote. Sens., 2017


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